Drug Resistant EpilepsyMagnetic Resonance ImagingElectroencephalogram (EEG)
Study summary
Using multimodal imaging technology, this study aims to explore the characteristics of epileptogenic foci in patients with drug-resistant epilepsy and identify key network nodes (such as central nodes) to provide more assistance for the diagnosis of drug-resistant epilepsy.
Eligibility
Sex
ALL
Min age
18 Years
Max age
65 Years
Healthy volunteers
No
Inclusion Criteria:
1. Aged ≥18 years old;
2. Meet the 2010 International League Against Epilepsy (ILAE) diagnostic criteria for drug-resistant epilepsy;
3. Duration of epilepsy ≥2 years, with an average seizure frequency of ≥2 times per month in the 3 months prior to enrollment;
4. Adequate intake of two or more anti-epileptic drugs, with no intervention in the treatment plan during the trial period;
5. Capable of cooperating to complete treatment and related examination items; The patient and family fully understand and voluntarily sign the informed consent form.
Exclusion Criteria:
1. In a state of continuous epileptic seizures;
2. Complicated with severe infections, cerebrovascular diseases, malignant tumors, and other diseases, accompanied by severe dysfunction of the heart, liver, kidney, or other organs, or with mental disorders, or with uncorrectable hyperglycemia, or 3.patients on long-term use of corticosteroid medications;
4.Pregnant or lactating women; 5.Contraindications for PET, MR, EEG examinations; 6.Patients with examinations (with ferromagnetic metal implants in the body; high fever); 7.Participating in other clinical trials at the same time; 8.The patient or family withdraws the informed consent form.
Primary outcome measure(s)
The characteristics of hybrid imaging in patients with different types of refractory epilepsy. — baseline Based on PET-FMRI-EEG hybrid fusion technology, explore the brain network characteristics of epilepsy patients.PET detects areas of reduced glucose metabolism, using radioactive isotopes (such as 18F-labeled fluorodeoxyglucose) to reflect the glucose metabolism of brain tissue. Typically in epilepsy patients, areas of hypometabolism may indicate the presence of epileptic foci. By using fMRI or EEG data, the synchronization of activities between different brain regions is analyzed to understand the organization and functional connectivity patterns of the brain network.
The characteristics of PET, fMRI, and EEG indicators in patients with different types of intractable epilepsy. — baseline Using different data analysis methods to explore the characteristics of PET, fMRI, and EEG indicators in patients with various types of intractable epilepsy.The characteristics of the power spectrum of various EEG frequency bands (Delta, Theta, Alpha, Beta, Gamma waves) and brain functional connectivity.
Trial sites (1)
Facility
City
Region
Status
Xijing Hospital of Air Force Military Medical University
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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